吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (05): 1343-1351.doi: 10.7964/jdxbgxb201305032

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Method for three-dimensional reconstruction based on color structured light

HAN Cheng1,2, QIN Gui-he1, GONG Yu3, ZHANG Chao2, XUE Yao-hong2   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;
    2. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun 130022, China;
    3. Department of Foreign Language, Jilin Vocational and Technical College of Traffic, Changchun 130021, China
  • Received:2012-07-27 Online:2013-09-01 Published:2013-09-01

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Abstract:

In this study, first, by executing the distortion correction and calibration on the camera and projector, the corresponding homography transformation matrix is determined. Then, in order to quickly obtain high precision code values from color encoded structured light under complex projection conditions, a color structured light coding method based on topology structure and local structured model is proposed. Finally, the methods for extracting encoded feature points based on waveform analysis and for classifying colors based on clustering analysis are developed. In addition, the characteristics of the encoded images are also exploited to improve the decoding accuracy. According to the homography transform matrix and the matching relationship of the code values of the feature points in the encoded images before and after modulation, the three-dimensional information of the feature points is calculated. Experimental results show that the decoding accuracy is higher than 99.5%. Because that the positions of the projector and camera are not strictly constrained, the method is applicable for building a reconstruction system that can rapidly and accurately generate point clouds from three-dimensional objects.

Key words: computer application, projector calibration, color structured light, three dimensional reconstruction, clustering analysis

CLC Number: 

  • TP391.9

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